Geert Geeven

2.4k total citations
25 papers, 1.2k citations indexed

About

Geert Geeven is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Geert Geeven has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Plant Science and 3 papers in Cancer Research. Recurrent topics in Geert Geeven's work include Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (8 papers) and Chromosomal and Genetic Variations (7 papers). Geert Geeven is often cited by papers focused on Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (8 papers) and Chromosomal and Genetic Variations (7 papers). Geert Geeven collaborates with scholars based in Netherlands, United States and Germany. Geert Geeven's co-authors include Wouter de Laat, Peter H.L. Krijger, Wouter de Laat, Valerio Bianchi, Hans Teunissen, Elzo de Wit, Patrick J. Wijchers, Marjon J.A.M. Verstegen, Christian Valdes‐Quezada and Catharina R.E. Hilvering and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Geert Geeven

25 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geert Geeven Netherlands 16 1.0k 203 190 169 160 25 1.2k
Jan Christian Bryne Norway 14 1.2k 1.2× 119 0.6× 177 0.9× 89 0.5× 231 1.4× 15 1.5k
Nazario Bosco United States 8 595 0.6× 102 0.5× 118 0.6× 106 0.6× 171 1.1× 10 756
Eugene Khandros United States 18 726 0.7× 133 0.7× 165 0.9× 128 0.8× 81 0.5× 42 1.2k
Abdenour Soufi United Kingdom 13 1.5k 1.4× 109 0.5× 111 0.6× 69 0.4× 155 1.0× 18 1.6k
Helene Kretzmer Germany 14 1.2k 1.1× 87 0.4× 149 0.8× 61 0.4× 184 1.1× 29 1.3k
Rongxin Fang United States 12 1.3k 1.3× 101 0.5× 356 1.9× 73 0.4× 219 1.4× 17 1.5k
Mounia Lagha France 21 1.6k 1.6× 188 0.9× 103 0.5× 113 0.7× 221 1.4× 37 1.8k
Grace E. Peng United States 7 1.2k 1.2× 480 2.4× 168 0.9× 69 0.4× 258 1.6× 7 1.4k
Ramon Y. Birnbaum Israel 17 880 0.9× 104 0.5× 83 0.4× 127 0.8× 305 1.9× 27 1.1k
Mayra Furlan-Magaril Mexico 18 1.1k 1.1× 207 1.0× 127 0.7× 40 0.2× 138 0.9× 29 1.3k

Countries citing papers authored by Geert Geeven

Since Specialization
Citations

This map shows the geographic impact of Geert Geeven's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geert Geeven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geert Geeven more than expected).

Fields of papers citing papers by Geert Geeven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert Geeven. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geert Geeven. The network helps show where Geert Geeven may publish in the future.

Co-authorship network of co-authors of Geert Geeven

This figure shows the co-authorship network connecting the top 25 collaborators of Geert Geeven. A scholar is included among the top collaborators of Geert Geeven based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geert Geeven. Geert Geeven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schot, Rachel, et al.. (2024). Re‐analysis of whole genome sequencing ends a diagnostic odyssey: Case report of an RNU4‐2 related neurodevelopmental disorder. Clinical Genetics. 106(4). 512–517. 11 indexed citations
2.
Poppelen, Natasha M. van, Anja Wagner, Geert Geeven, et al.. (2024). Evaluation of Circulating Tumor DNA as a Liquid Biomarker in Uveal Melanoma. Investigative Ophthalmology & Visual Science. 65(2). 11–11. 8 indexed citations
3.
Vermeulen, Carlo, Amin Allahyar, Britta A. M. Bouwman, et al.. (2020). Multi-contact 4C: long-molecule sequencing of complex proximity ligation products to uncover local cooperative and competitive chromatin topologies. Nature Protocols. 15(2). 364–397. 30 indexed citations
4.
Geeven, Geert, et al.. (2020). Bayesian mixture regression analysis for regulation of Pluripotency in ES cells. BMC Bioinformatics. 21(1). 3–3. 3 indexed citations
5.
Castelijns, Bas, Marit W. Vermunt, Peng Shang, et al.. (2020). Hominin-specific regulatory elements selectively emerged in oligodendrocytes and are disrupted in autism patients. Nature Communications. 11(1). 301–301. 29 indexed citations
6.
Castelijns, Bas, Geert Geeven, Marit W. Vermunt, et al.. (2020). Recently Evolved Enhancers Emerge with High Interindividual Variability and Less Frequently Associate with Disease. Cell Reports. 31(12). 107799–107799. 6 indexed citations
7.
Hall, Amelia Weber, Mark Chaffin, Carolina Roselli, et al.. (2020). Epigenetic Analyses of Human Left Atrial Tissue Identifies Gene Networks Underlying Atrial Fibrillation. Circulation Genomic and Precision Medicine. 13(6). e003085–e003085. 14 indexed citations
8.
Krijger, Peter H.L., Geert Geeven, Valerio Bianchi, Catharina R.E. Hilvering, & Wouter de Laat. (2019). 4C-seq from beginning to end: A detailed protocol for sample preparation and data analysis. Methods. 170. 17–32. 118 indexed citations
9.
Allahyar, Amin, Carlo Vermeulen, Britta A. M. Bouwman, et al.. (2018). Enhancer hubs and loop collisions identified from single-allele topologies. Nature Genetics. 50(8). 1151–1160. 162 indexed citations
10.
Vermunt, Marit W., Sander Tan, Bas Castelijns, et al.. (2016). Epigenomic annotation of gene regulatory alterations during evolution of the primate brain. Nature Neuroscience. 19(3). 494–503. 86 indexed citations
11.
Kaaij, Lucas, Michal Mokrý, Meng Zhou, et al.. (2016). Enhancers reside in a unique epigenetic environment during early zebrafish development. Genome biology. 17(1). 146–146. 33 indexed citations
12.
Melo, Carlos A., Nicolas Léveillé, Koos Rooijers, et al.. (2016). A p53-bound enhancer region controls a long intergenic noncoding RNA required for p53 stress response. Oncogene. 35(33). 4399–4406. 22 indexed citations
13.
Wijchers, Patrick J., Peter H.L. Krijger, Geert Geeven, et al.. (2016). Cause and Consequence of Tethering a SubTAD to Different Nuclear Compartments. Molecular Cell. 61(3). 461–473. 69 indexed citations
14.
Léveillé, Nicolas, Carlos A. Melo, Koos Rooijers, et al.. (2015). Genome-wide profiling of p53-regulated enhancer RNAs uncovers a subset of enhancers controlled by a lncRNA. Nature Communications. 6(1). 6520–6520. 138 indexed citations
15.
Wijchers, Patrick J., Geert Geeven, Atze J. Bergsma, et al.. (2015). Characterization and dynamics of pericentromere-associated domains in mice. Genome Research. 25(7). 958–969. 60 indexed citations
16.
Geeven, Geert, Yun Zhu, Byung Ju Kim, et al.. (2015). Local compartment changes and regulatory landscape alterations in histone H1-depleted cells. Genome biology. 16(1). 289–289. 46 indexed citations
17.
Galli, Giorgio Giacomo, Matteo Carrara, Wei-Chien Yuan, et al.. (2015). YAP Drives Growth by Controlling Transcriptional Pause Release from Dynamic Enhancers. Molecular Cell. 60(2). 328–337. 201 indexed citations
18.
Vermunt, Marit W., Peter Reinink, Jeroen Korving, et al.. (2014). Large-Scale Identification of Coregulated Enhancer Networks in the Adult Human Brain. Cell Reports. 9(2). 767–779. 59 indexed citations
19.
Geeven, Geert, Harold D. MacGillavry, Ruben Eggers, et al.. (2011). LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data. Nucleic Acids Research. 39(13). 5313–5327. 15 indexed citations
20.
Fernandes, Ricardo, et al.. (2011). Deletion/Substitution/Addition (DSA) model selection algorithm applied to the study of archaeological settlement patterning. Journal of Archaeological Science. 38(9). 2293–2300. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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